Orca
Microsoft's small language model trained to reason like GPT-4 by learning from complex explanations.
Overview
Orca is a family of small language models from Microsoft Research trained to mimic the reasoning process of larger models like GPT-4, not just their outputs. Orca's training data includes GPT-4's step-by-step reasoning traces — the internal thought process leading to an answer — rather than just the final answers. This approach, called Progressive Learning, taught smaller models to reason more deeply.
The key insight: when GPT-4 explains its reasoning chain before answering, a smaller model trained on those explanations learns the reasoning pattern, not just fact recall. Orca 7B and 13B achieved results competitive with GPT-3.5 on complex reasoning tasks, challenging the assumption that small models could not perform well on multi-step problems.
Orca 2 and Orca-Math further refined the technique, with Orca-Math 7B achieving state-of-the-art performance on grade-school math problems. Orca models are released on Hugging Face and have been highly influential in demonstrating that explanation-based training data dramatically improves small model reasoning.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 8 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
ASEAN Perspective
Orca in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Orca is a Microsoft Research line of small language models trained via explanation-tuning and synthetic reasoning traces to punch above their parameter count. The published weights and papers are genuinely useful for researchers and practitioners benchmarking efficient reasoning, and they run on modest hardware.
It suits ML researchers and engineers comfortable with Hugging Face, not end users wanting a chat product. There is no hosted service, no SLA, and licensing/terms vary by checkpoint, so treat it as a research artifact rather than something to build a business on without due diligence.
Notable facts
- Orca was the first model to systematically train on GPT-4's reasoning traces rather than just final answers — a methodology that became widely adopted across the research community.
- Orca-Math 7B outperformed GPT-4 on the elementary school math benchmark MATH — a remarkable result for a model 100x smaller.
- The Orca research paper was cited over 500 times within 6 months of publication, making it one of the most impactful small LLM papers of 2023.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Orca's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Orca unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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